Driving Your Self-Discovery: Leveraging Human Skills as a Catalyst for Data Transformation (Driving Series Book 1)

At a time when AI promises to automate a third of workplace tasks by 2030, this timely second edition reveals a powerful paradox: while technology advances, human skills are more crucial, not less. Using the Waterline Model, Dr. Haskell demonstrates how success in data-driven environments demands more than just technical expertise (IQ) or emotional intelligence (EQ)—it requires adaptability (AQ).

Drawing from her work with leaders across various sectors, this practical guide introduces vital new frameworks for navigating the human side of data transformation, including:

The "data biography" concept for understanding our relationship with data
A comprehensive support spectrum for developing crucial leadership capabilities
Data archetypes for managing diverse personalities during change
Core coaching skills for fostering constructive mindsets in data projects
Five key markers of emotional intelligence tailored to data leadership
With 12 million workers facing job transitions by 2030 and lower-wage workers 14 times more likely to be affected, this isn't just another book about data—it's an essential resource for ensuring technological advancement serves everyone. Perfect for data leaders, managers, and professionals seeking to thrive in an AI-driven world, this book provides road-tested tools for building the resilience and adaptability needed to shape technology's future while nurturing the human skills that give it meaning.